@inproceedings{59080b21c9bd4a16aad6496d20282045,
title = "Fault identification of LCC HVDC using signal processing techniques",
abstract = "Line commutated HVDC (LCC HVDC) technology has been in operation with a high level reliability and little maintenance requirements for more than 30 years. This technology plays an important role in particular in the wind energy industry. The current-source based or classical LCC-HVDC systems are being considered for buried cable transmission as well as overhead transmission. The fault analysis and protection of LCC-HVDC system is a very important aspect in terms of power system stability. This paper presents a comparative study of abc to dq0 transformation, and wavelet transform-based analysis for the identification of faults in an LCC HVDC system.",
keywords = "LCC HVDC, Matlab/Simulink, abc to dq0 transform, fault analysis, fault detection, wavelet transform",
author = "Benish Paily and Malabika Basu and Michael Conlon",
year = "2013",
doi = "10.1109/UPEC.2013.6715019",
language = "English",
isbn = "9781479932542",
series = "Proceedings of the Universities Power Engineering Conference",
booktitle = "2013 48th International Universities' Power Engineering Conference, UPEC 2013",
note = "2013 48th International Universities' Power Engineering Conference, UPEC 2013 ; Conference date: 02-09-2013 Through 05-09-2013",
}